HARNESSING ARTIFICIAL INTELLIGENCE IN ORACLE HCM: REVOLUTIONISING WORKFORCE MANAGEMENT WITH AUTOMATION AND PREDICTIVE ANALYTICS

This paper discusses the concept of Artificial Intelligence as a revolution within the Oracle HCM. It is analysed through the scope of automation, predictive analytics and strategic workforce management. Thematic analysis using secondary qualitative methodology indicated three themes, one of which is integration issues, and the other two are ethics and governance, and long-term strategic effect. The findings indicate the news regarding the multi-dimensional barriers to adoption, the adoption of fairness audits and explainable AI, and the potential of the HR transition to strategic leadership. The findings of such nature highlight extremely significant research gaps and the research application to any organisation that would implement AI-enabled workforce management.

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Publication Details

Journal
International Journal of Data Science and IoT Management System
Published
2025-10-03
DOI
https://doi.org/10.64751/ijdim.2025.v4.n4.pp7-13
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

HARNESSING ARTIFICIAL INTELLIGENCE IN ORACLE HCM: REVOLUTIONISING WORKFORCE MANAGEMENT WITH AUTOMATION AND PREDICTIVE ANALYTICS

Srinivasa Kalyan Immadi
International Journal of Data Science and IoT Management System
AI and HR Technologies
article

HARNESSING ARTIFICIAL INTELLIGENCE IN ORACLE HCM: REVOLUTIONISING WORKFORCE MANAGEMENT WITH AUTOMATION AND PREDICTIVE ANALYTICS

Srinivasa Kalyan Immadi
article en

Abstract

This paper discusses the concept of Artificial Intelligence as a revolution within the Oracle HCM. It is analysed through the scope of automation, predictive analytics and strategic workforce management. Thematic analysis using secondary qualitative methodology indicated three themes, one of which is integration issues, and the other two are ethics and governance, and long-term strategic effect. The findings indicate the news regarding the multi-dimensional barriers to adoption, the adoption of fairness audits and explainable AI, and the potential of the HR transition to strategic leadership. The findings of such nature highlight extremely significant research gaps and the research application to any organisation that would implement AI-enabled workforce management.

International Journal of Data Science and IoT Management SystemVol. 4(4)
Openalex Percentile: Top 68%
AI and HR Technologies
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